Akkodis is seeking a data scientist for a client in Warren, MI.

Rate Range: $115,000/year to $125,000/year; the rate may be negotiable based on experience, education, geographic location, and other factors.

This is a direct hire role, and will be hybrid.

For this particular assignment, candidate must be authorized to work in the U.S. without employer sponsorship.

We are seeking a Data Scientist to join our Revenue Management team and support data-driven decision-making that enhances pricing, promotions, and overall profitability.

This role will focus on analyzing large datasets, developing predictive models, and generating insights that drive revenue optimization. The ideal candidate is highly analytical, detail-oriented, and eager to apply data science techniques to solve real-world business challenges in the food distribution industry.

Responsibilities:

• Analyze large, complex datasets related to pricing, promotions, customer behavior, and product profitability.
• Develop statistical and machine learning models to optimize pricing strategies and forecast revenue trends.
• Identify patterns, correlations, and anomalies to support revenue-enhancing initiatives.
• Development & maintenance of critical tools for use in the department & deployment through our salesforce.
• Provide actionable insights to key stakeholders by translating data findings into clear business recommendations.
• Support scenario modeling and simulations to assess the impact of pricing and promotional strategies.
• Collaborate with Sales, Finance, and Category Management teams to align data-driven strategies with business goals.
• Clean, structure, and maintain data pipelines to ensure accuracy and reliability.
• Create interactive dashboards and reports using tools like Power BI, Tableau, or Python-based visualization libraries.
• Support data automation efforts to improve efficiency in revenue management processes.
• Work closely with senior data scientists and revenue management professionals to develop analytical solutions.
• Stay up to date with emerging data science techniques and tools relevant to revenue management.
• Contribute to the development of best practices and documentation for data science projects.

Required Skills:

• Good experience in Python and SQL for data manipulation and analysis.
• Experience with either Alteryx or Tableau, or a similar data visualization tool.
• Sound experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, or PyTorch).
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Alteryx experience is a huge plus!

Education & Experience:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 3-5 years of experience in data analysis, predictive modeling, or revenue management (internship experience included).

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.modis.com/en-us/candidate-privacy/

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance